ml-engineer-associate video for a machine learning engineer is working to upgrade a machine learning project in a way that enables automatic model refresh every
A machine learning engineer is working to upgrade a machine learning project in a way that enables automatic model refresh every time the project runs. The project is linked to an existing model referred to as model_name in the MLflow Model Registry. The following block of code is part of their approach: mlflow . sklearn . log_model ( sk_model = model , artifact_path = "model" , registered_model_name = model_name ) Given that model_name already exists in the MLflow Model Registry, what does the parameter and argument registered_model_name=model_name denote?